Coforge is hiring a Mid Machine Learning Engineer (3+ years) for a remote role open to candidates in Bolivia, Colombia, Costa Rica, and Peru. Responsibilities include designing, developing, deploying, and maintaining production ML models and pipelines, architecting data ingestion and feature engineering, and managing the full ML lifecycle. Required skills: Python, SQL, PySpark, scikit-learn/XGBoost/PyTorch/TensorFlow, MLflow (or equivalent), Databricks/cloud platforms (AWS/GCP/Azure), and experience with large datasets and MLOps practices.

Lead Data Engineer responsible for leading and mentoring data engineering teams, owning architecture and production delivery of scalable data platforms, and driving migrations (e.g., Snowflake/SSIS to Azure Databricks and dbt). Required: 8+ years in data engineering (2–3+ years in lead/staff role), strong hands-on experience with Snowflake, Azure Databricks, dbt, Python, Terraform, SQL, ETL/ELT, CI/CD, and cloud migrations; preferred experience with governance, observability, real-time streaming (Kafka/Event Hubs), Delta Live Tables, and multi-cloud environments.

Hiring a Senior Data Engineer to design, develop, and maintain scalable ETL/ELT data pipelines, data models and data warehouse solutions. Requires 5+ years experience, strong SQL and Python skills, experience with large-scale/distributed data processing, cloud data platforms, and data quality/validation.

Senior AI Engineer based in Peru (remote). Requires 5+ years experience in software/data/ML engineering to design and deliver production AI solutions (LLMs, generative AI, RAG, AI agents) using frameworks such as LangChain, LangGraph, LlamaIndex or Semantic Kernel, and platforms like Snowflake/Databricks/Redshift/Synapse. Responsibilities include architecture, deployment, monitoring, observability, troubleshooting, and AI evaluation/feedback strategies.

Responsible for developing AI/LLM components and production services, building and maintaining Python-based APIs and pipelines, working with data/SQL for transformations and quality, implementing RAG pipelines and prompt workflows, troubleshooting data/model/production issues, and collaborating with Product and Platform teams. Requires 2–4 years in Software/Data/ML/AI roles and experience with Git, CI/CD, monitoring, model evaluation, and LLM-specific issues (hallucinations, grounding, prompt brittleness).

Hiring a Lead Data Engineer (remote) based in Bolivia, Colombia, Costa Rica, or Peru. Role requires 8+ years in data engineering (2–3 years in a lead/staff role), ownership of end-to-end architecture and delivery of large-scale data platforms, and hands-on expertise with Snowflake, Azure Databricks, dbt, Python, SQL, and Terraform. Responsibilities include leading a team, designing scalable pipelines and models, driving migrations (Snowflake/SSIS to Databricks/dbt), implementing IaC and CI/CD, and collaborating with product and business stakeholders. Advanced English and experience in insurance/financial services are stated requirements; preferred experience includes observability, data quality, streaming technologies, and multi-cloud environments.

Position: Mid Data Engineer in Peru (hybrid, office attendance 2–3 times/week in Surquillo). Requirements: minimum 3 years as a Data Engineer including 3 years in banking projects; experience with Azure Data Factory, Azure Databricks, Oracle PL/SQL, ETL, advanced SQL, data warehousing and data lakes; basic dimensional and relational modeling (3NF); Linux/Unix and shell scripting. Responsibilities include designing and optimizing batch and real-time data pipelines, implementing validation and testing, performance optimization, and collaborating on scalable data solutions.

Responsible for designing, developing and optimizing data pipelines (Azure Data Factory), implementing ETL/ELT, participating in on-premise to cloud data migrations (including Oracle to Oracle Cloud), ensuring data quality/validation/reconciliation, implementing DevOps/CI-CD (Azure DevOps, Git), and coordinating with business and regulatory stakeholders. Requires minimum 4 years of Data Engineer experience and at least 2 years in data migration projects. Hybrid role based in Peru.

Design and lead implementation of modern, scalable and secure data architectures on Azure and Databricks. Define architecture standards, data integration and storage strategies, ETL/ELT and streaming pipelines, and promote DataOps and automation. Optimize cloud costs and performance, ensure data governance and quality, and collaborate with business and engineering teams. Hybrid role based in Peru; minimum 5 years of experience required.

Coforge busca un Data Engineer con más de 4 años de experiencia y al menos 2 años en proyectos bancarios. Trabajo híbrido en Lima (2–3 días en oficina, Surquillo). Requisitos técnicos incluyen desarrollo en Azure Data Factory y Databricks, construcción de procesos ETL, experiencia con paquetes y procedimientos almacenados en Oracle (PL/SQL), modelamiento dimensional y conocimientos básicos de Linux/shell scripting. Se valoran conocimientos en CRM y certificaciones en Azure/Databricks.

Rol de Data Governance con mínimo 4 años en roles afines (al menos 2 años en gobierno de datos). Responsabilidades incluyen diseñar políticas y marcos de gobierno, implementar reglas y controles de calidad, mantener modelos operativos, administrar herramientas de gobierno/calidad (p. ej. Collibra, Informatica), y colaborar con equipos de negocio y tecnología. Modalidad híbrida con asistencia 2–3 veces por semana en oficina en Surquillo, Perú.

Puesto de Arquitecto de Soluciones de Datos responsable de diseñar arquitecturas de integración y gobernanza (Anjana, Monte Carlo, Databricks), definir lineamientos técnicos, coordinar con infra/arquitectura/ingeniería, y garantizar disponibilidad de datasets y metadatos. Requiere 5+ años en soluciones de datos, experiencia con Databricks, entornos Azure y conocimientos funcionales de AWS. Modalidad híbrida (asistencia 3 veces por semana) en Bogotá, Colombia.

Embedded Product Data Scientist working with Home Improvement Product Managers to design and analyze experiments, define metrics and instrumentation, build SQL/dbt pipelines and features, and develop/validate statistical and ML models for lending decisions. Remote role in Mexico; requires 5+ years of relevant analytics/data science experience and skills in SQL, Python or R, experimentation, and event instrumentation.

Coforge seeks a Senior Data Engineer (AWS) in Lima, Perú. The role involves designing and developing scalable data processing solutions on AWS, building ETL/ELT pipelines with AWS Glue, orchestrating workflows with AWS Step Functions, using Python and Docker, integrating multiple data sources, and contributing to monitoring, performance optimization and data governance. Requires 5+ years of experience. Hybrid modality with 1–2 office days per week in Miraflores.

Seeking a Senior Data Engineer to own end-to-end delivery of data pipelines and data products using Azure Databricks, DBT and Python. Responsibilities include large-scale migrations from Snowflake to Azure Databricks, building IaC with Terraform, implementing data quality and observability, and supporting production environments. Location options: Costa Rica, Peru, Colombia, Bolivia. Minimum 5 years of data engineering experience.

The role owns the full lifecycle of AI development: conducting SOTA research, fine-tuning foundational models (PEFT/LoRA/QLoRA), designing data and production pipelines, implementing MLOps (DVC, CI/CD, Docker, Kubernetes), and building low-latency APIs. Minimum requirements include an undergraduate quantitative degree (Master’s/PhD preferred), and 3+ years in a similar ML/ML engineering/research role. Work location is hybrid with ~2 onsite days per week in Metro Manila (Makati/Taguig).

Senior Data Engineer + AI (remote) responsible for designing, developing, and maintaining AI-powered applications, scalable backend services, and cloud-native data platforms. Key technologies: Python, SQL, TypeScript, AWS, Databricks, Apache Spark, dbt, LLMs. Responsibilities include building end-to-end data pipelines, ensuring data quality/governance/observability, developing production-ready LLM/AI solutions, and collaborating with cross-functional teams. Requires 7+ years in software/data/AI engineering and a relevant bachelor's degree or equivalent experience.

Senior Data Engineer (7+ years) responsible for designing, building and maintaining scalable ETL/ELT pipelines, data lake and data warehouse solutions using Snowflake and/or Databricks on Azure. Works with cross-functional teams, implements data quality and governance controls, optimizes storage/compute/query performance, and contributes to solution architecture.

Coforge is hiring a Senior Data Engineer to design, build, migrate and maintain production-grade data pipelines and data products. Key responsibilities include Azure Databricks/DBT-based pipeline development, Snowflake-to-Azure migration, infrastructure-as-code with Terraform, implementing data quality and observability, and supporting production systems. Experience with streaming technologies, security/compliance in regulated industries, and domain experience in insurance/financial services is desirable.

Encora is hiring a Developer based in Scottsdale, AZ. The role specifies experience with Oracle, Teradata or Hadoop.